Wolfram Computation Meets Knowledge

Instructor-Led Course

The Wolfram Language: Introduction to Machine Learning

Level: Beginner

This course introduces the easy-to-use machine learning superfunctions available in the Wolfram Language. You will learn how to perform supervised and unsupervised learning tasks with just a few lines of code. We will start with regression, classification, clustering and anomaly detection, and from there, we'll move on to the state-of-the-art Neural Network Framework. Examples using the Wolfram Neural Net Repository are shown with instructions for building your own neural networks from scratch. Basic familiarity with the Wolfram Language or introductory-level skill in any programming language is recommended.

Featured Products & Technologies: Wolfram Language, Mathematica

DateTimeLanguageLocationCost  
January 231pm–3:30pm EST Your local time
Start
End EST is US Eastern Standard Time, UTC/GMT -5 hours (New York)
EDT is US Eastern Daylight Time, UTC/GMT -4 hours (New York)
EnglishOnline Check system requirements $195.00 (USD) Premier Service subscribers receive 15% off training courses Register Now
February 41pm–4pmEnglishLondon, United Kingdom CCT Venues Barbican
Room Earth
135-137 Aldersgate Street
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£130.00 (GBP) Register Now
March 131pm–4pmEnglishManchester, United Kingdom Townhouse Hotel Manchester
101 Portland Street
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£130.00 (GBP) Register Now
March 261pm–4pmEnglishOxfordshire, United Kingdom The Wolfram Centre
Lower Road, Long Hanborough
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£130.00 (GBP) Register Now
April 102pm–4:30pm EDT Your local time
Start
End EST is US Eastern Standard Time, UTC/GMT -5 hours (New York)
EDT is US Eastern Daylight Time, UTC/GMT -4 hours (New York)
EnglishOnline Check system requirements $195.00 (USD) Premier Service subscribers receive 15% off training courses Register Now
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Outline

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • The Neural Network Framework